Cultural Factors in a Mobile Phone Adoption and Usage Model

In human-computer interaction and computing, mobile phone usage is mostly addressed from a feature-driven perspective, i.e. which features do a certain user group use, and/or a usability perspective, i.e. how do they interact with these features. Although the feature driven and usability focus carry value, it is not the full picture. There is also an alternative or wider perspective: mobile phone use is influenced by demographic, social, cultural, and contextual factors that complicate the understanding of mobile phone usage. Drawing on concepts and models from sociology, computer-supported cooperative work, human-computer interaction and marketing, we researched the influence of culture on mobile phone adoption using interviews and two surveys. The contribution of this research is a model that includes culture as one of the factors that influence mobile phone adoption and usage. The proposed model represents the influence of mediating factors and determining factors on actual mobile phone use. The proposed model has been evaluated from both a qualitative and quantitative perspective.

[1]  E. Rogers.  Diffusion of Innovations , 1962 .

[2]  P. Shalit.  The Silent Language , 1964 .

[3]  E. C. Stewart.  American Cultural Patterns: A Cross-Cultural Perspective , 1971 .

[4]  Dee G. Appley.  Beyond Culture , 1977 .

[5]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[6]  A. Ross.  Of rigor and relevance. , 1981 .

[7]  E. Hall,et al.  Understanding Cultural Differences , 1989 .

[8]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[9]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[10]  N. Adler,et al.  The Parochial Dinosaur: Organizational Science in a Global Context , 1991 .

[11]  I. Ajzen.  The theory of planned behavior , 1991 .

[12]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[13]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[14]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[15]  Tim O'Sullivan,et al.  Key Concepts in Communication and Cultural Studies , 1993 .

[16]  R. Peterson.  A Meta-analysis of Cronbach's Coefficient Alpha , 1994 .

[17]  Willian Geoghegan,et al.  Whatever Happened to Instructional Technology , 1994 .

[18]  G. Hofstede.  The business of international business is culture , 1994 .

[19]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[20]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[21]  Elisa M. del Galdo,et al.  Culture and design , 1996 .

[22]  Nancy Hoft.  Developing a cultural model , 1996 .

[23]  Leslie Haddon,et al.  Design and the domestication of information and communication technologies: technical change and everyday life , 1996 .

[24]  Judy E. Scott,et al.  Goal congruence, trust, and organizational culture: strengthening knowledge links , 1997, ICIS '97.

[25]  D. Victor.  International Business Communication , 1997 .

[26]  Dennis F. Galletta,et al.  Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[27]  Judy Pearsall,et al.  The Concise Oxford Dictionary , 1999 .

[28]  John Leslie King,et al.  Rigor and relevance: careers on the line , 1999 .

[29]  E. W. Gould,et al.  Crosscurrents: cultural dimensions and global Web user-interface design , 2000, INTR.

[30]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[31]  Pia Honold,et al.  Culture and Context: An Empirical Study for the Development of a Framework for the Elicitation of Cultural Influence in Product Usage , 2000, Int. J. Hum. Comput. Interact..

[32]  Pia Honold.  Culture and Context: An Empirical Study for the Development of a Framework for the Elicitation of Cultural Influence in Product Usage , 2000 .

[33]  Leysia Palen,et al.  Going wireless: behavior & practice of new mobile phone users , 2000, CSCW '00.

[34]  Laku Chidambaram,et al.  A test of the technology acceptance model: the case of cellular telephone adoption , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[35]  L. Haddon.  Domestication and Mobile Telephony , 2001 .

[36]  G. Hofstede.  Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

[37]  Won Jun Lee,et al.  User Acceptance of the Mobile Internet , 2002 .

[38]  Per E. Pedersen,et al.  Understanding mobile commerce end-user adoption: a triangulation perspective and suggestions for an exploratory service evaluation framework , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[39]  Suprateek Sarker,et al.  Exploring cultural differences as a means for understanding the global mobile Internet: a theoretical basis and program of research , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[40]  Rich Ling,et al.  The diffusion of mobile telephony among Norwegian teens: A report from after the revolution , 2002, Ann. des Télécommunications.

[41]  Aaron Marcus,et al.  Business and Social Context Needs/desires and Functions Technological Opportunities Function and Form Figure 2: Observation Subject Using Phone and Appointment Book Simultaneously. the Rooms Are Kept over Time and Eventually Form a Mutual Scrapbook of Memories And/or a Data/transaction Archive , 2022 .

[42]  R. Bhagat.  Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations , 2002 .

[43]  Shuk Ying Ho,et al.  The attraction of personalized service for users in mobile commerce: an empirical study , 2002, SECO.

[44]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[45]  Yuen-Yan Chan,et al.  Analysis of mobile commerce market in Hong Kong , 2003, ICEC '03.

[46]  R. Rice,et al.  Comparing internet and mobile phone usage: digital divides of usage, adoption, and dropouts , 2003 .

[47]  Stuart J. Barnes,et al.  Rising sun: iMode and the wireless Internet , 2003, CACM.

[48]  Thompson S. H. Teo,et al.  Adoption of WAP-enabled mobile phones among Internet users , 2003 .

[49]  Marion Walton,et al.  Cultures, literacy, and the web: dimensions of information "scent" , 2003, INTR.

[50]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[51]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[52]  Thompson S. H. Teo,et al.  Adoption of the Internet and WAP-enabled phones in Singapore , 2003, Behav. Inf. Technol..

[53]  H. Geser.  Towards a Sociological Theory of the Mobile Phone , 2004 .

[54]  Barry A. T. Brown,et al.  Building a Context Sensitive Telephone: Some Hopes and Pitfalls for Context Sensitive Computing , 2004, Computer Supported Cooperative Work (CSCW).

[55]  R. McCrae,et al.  Personality and Culture Revisited: Linking Traits and Dimensions of Culture , 2004 .

[56]  Harri Kiljander,et al.  Evolution and usability of mobile phone interaction styles , 2004 .

[57]  Huatong Sun,et al.  Expanding the Scope of Localization: A Cultural Usability Perspective on Mobile Text Messaging Use in American and Chinese Contexts , 2004 .

[58]  James B. Pick,et al.  Technology factors in corporate adoption of mobile cell phones: a case study analysis , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[59]  Srinivasan Keshav,et al.  Why cell phones will dominate the future internet , 2005, CCRV.

[60]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[61]  Gabrielle Ford.  Researching the effects of culture on usability , 2005 .

[62]  Peter Meso,et al.  Towards a model of consumer use of mobile information and communication technology in LDCs: the case of sub‐Saharan Africa , 2005, Inf. Syst. J..

[63]  Timo Ali-Vehmas,et al.  Service diffusion strategies for push to talk over cellular , 2005, International Conference on Mobile Business (ICMB'05).

[64]  Jinwoo Kim,et al.  A qualitative cross-national study of cultural influences on mobile data service design , 2005, CHI.

[65]  Lee Humphreys,et al.  Cellphones in public: social interactions in a wireless era , 2005, New Media Soc..

[66]  George M. Giaglis,et al.  Exploring early usage patterns of mobile data services , 2005, International Conference on Mobile Business (ICMB'05).

[67]  T. Smith-Jackson,et al.  Usability Testing with Cultural Groups in Developing a Cell Phone Navigation System , 2005 .

[68]  Kun-Pyo Lee,et al.  Cultural difference and mobile phone interface design: icon recognition according to level of abstraction , 2005, Mobile HCI.

[69]  Paula Kotzé,et al.  Researching Culture and Usability - A Conceptual Model of Usability , 2005, BCS HCI.

[70]  Thecla Schiphorst.  Affectionate computing: can we fall in love with a machine? , 2006, IEEE Multimedia.

[71]  Matt Jones,et al.  Mobile Interaction Design , 2006 .

[72]  G. Marsden,et al.  A model for representing the motivational and cultural factors that influence mobile phone usage variety , 2006 .

[73]  Paula Kotzé,et al.  Motivational Needs-Driven Mobile Phone Design , 2007, INTERACT.

[74]  C. Hampden-Turner,et al.  Riding the waves of culture , 2009 .

[75]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .